Discovering host protein interactions specific for SARS-CoV-2 RNA genome (preprint)

SARS-CoV-2 is a positive single-stranded RNA virus that interacts with proteins of infected cells at different stages of its life cycle. These interactions are necessary for the host to recognize and block the replication of the virus. Yet, if cells fail to block SARS-CoV-2, host proteins are recruited to translate, transcribe and replicate the genetic material of the virus. To identify the host proteins that bind to SARS-CoV-2 RNA, we adopted the RNA-Protein Interaction Detection coupled to Mass Spectrometry (RaPID-MS) technology, which allows the purification and identification by MS-based proteomics of the proteins associated with a specific RNA of interest expressed in mammalian cells. We specifically investigated proteins associated with the 5' and 3' end regions of SARS-CoV-2 RNA. As associations might involve non-physical protein-RNA interactions, we defined a set of reliable protein-RNA interactions by exploiting the predictive power of the catRAPID algorithm that assesses the direct binding potential of proteins to a given RNA region. Among these specific SARS-CoV-2 RNA end interactors, we identified the pseudouridine synthase PUS7 that binds to both 5' and 3' ends of viral RNA, which harbor the canonical consensus sequence modified by PUS7. We corroborated our results through SARS-CoV-2 RNA analysis by nanopore direct RNA sequencing. Indeed, these PUS7 consensus regions were found highly modified on viral RNAs, as demonstrated by ionic current features that are significantly different compared to the unmodified in vitro transcribed RNA. Overall, our data map the specific host protein interactions of SARS-CoV-2 RNA and point to a role for cellular pseudouridine synthases and the post-transcriptional pseudouridine modifications in the viral life cycle.

A high-throughput approach to predict A-to-I effects on RNA structure indicates a change of double-stranded content in non-coding RNAs (preprint)

ABSTRACT RNA molecules undergo a number of chemical modifications whose effects can alter their structure and molecular interactions. Previous studies have shown that RNA editing can impact the formation of ribonucleoprotein complexes and influence the assembly of membrane-less organelles such as stress-granules. For instance, N6-methyladenosine (m6A) enhances SG formation and N1-methyladenosine (m1A) prevents their transition to solid-like aggregates. Yet, very little is known about adenosine to inosine (A-to-I) modification that is very abundant in human cells and not only impacts mRNAs but also non-coding RNAs. Here, we built the CROSSalive predictor of A-to-I effects on RNA structure based on high-throughput in-cell experiments. Our method shows an accuracy of 90% in predicting the single and double-stranded content of transcripts and identifies a general enrichment of double-stranded regions caused by A-to-I in long intergenic non-coding RNAs (lincRNAs). For the individual cases of NEAT1, NORAD and XIST, we investigated the relationship between A-to-I editing and interactions with RNA-binding proteins using available CLIP data. We found that A-to-I editing is linked to alteration of interaction sites with proteins involved in phase-separation, which suggests that RNP assembly can be influenced by A-to-I. CROSSalive is available at http://service.tartaglialab.com/new_submission/crossalive .

Structural analysis of SARS-CoV-2 andprediction of the human interactome (preprint)

Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genomic regions display different degrees of conservation. SARS-CoV-2 domain encompassing nucleotides 22500 - 23000 is conserved both at the sequence and structural level. The regions upstream and downstream, however, vary significantly. This part codes for the Spike S protein that interacts with the human receptor angiotensin-converting enzyme 2 (ACE2). Thus, variability of Spike S may be connected to different levels of viral entry in human cells within the population. Our predictions indicate that the 5 end of SARS-CoV-2 is highly structured and interacts with several human proteins. The binding proteins are involved in viral RNA processing such as double-stranded RNA specific editases and ATP-dependent RNA-helicases and have strong propensity to form stress granules and phase-separated complexes. We propose that these proteins, also implicated in viral infections such as HIV, are selectively recruited by SARS-CoV-2 genome to alter transcriptional and post-transcriptional regulation of host cells and to promote viral replication.

Structural analysis of SARS-CoV-2 and prediction of the human interactome (preprint)

Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2500 coronaviruses and computed >100000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We found that the 3 and 5 prime ends are the most structured elements in the viral genome and the 5 prime end has the strongest propensity to associate with human proteins. The domain encompassing nucleotides 23000-24000 is highly conserved both at the sequence and structural level, while the region upstream varies significantly. These two sequences code for a domain of the viral protein Spike S that interacts with the human receptor angiotensin-converting enzyme 2 (ACE2) and has the potential to bind sialic acids. Our predictions indicate that the first 1000 nucleotides in the 5 prime end can interact with proteins involved in viral RNA processing such as double-stranded RNA specific editases and ATP-dependent RNA-helicases, in addition to other high-confidence candidate partners. These interactions, previously reported to be also implicated in HIV, reveal important information on host-virus interactions. The list of transcriptional and post-transcriptional elements recruited by SARS-CoV-2 genome provides clues on the biological pathways associated with gene expression changes in human cells.